Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19881E1729000C8370207B2D685643E299AB5ABDCD6522CA9B5F5173E2ED4FB4CB2357C |
|
CONTENT
ssdeep
|
96:mzBTk+Ou6eIjZeIYeIUeCueCaBSeCKXponktfK:GTkPuRIjcIzIfCVCaB5CKXponkI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d14726be9169665 |
|
VISUAL
aHash
|
000e1fff390d00ff |
|
VISUAL
dHash
|
f87c7c7a7379fc02 |
|
VISUAL
wHash
|
000e3fff390d00ff |
|
VISUAL
colorHash
|
074000c0001 |
|
VISUAL
cropResistant
|
f8fcfcfaf6e6f2f2,0000000000000000,0000000000000000,f87c7c78737bf9fc |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 6 techniques to evade detection by security scanners and make reverse engineering more difficult.